{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "discover vulnerability", "trigger": true, "arguments": ["vulnerable system", "time", "vulnerable system version", "vulnerability", "supported platform", "common vulnerabilities and exposures", "discoverer", "vulnerable system owner"]}, {"event_type": "data breach", "trigger": true, "arguments": ["place", "compromised data", "purpose", "tool", "damage amount", "victim", "attack pattern", "number of victim"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["issues addressed", "vulnerable system", "releaser", "time", "patch", "common vulnerabilities and exposures", "supported platform", "vulnerability"]}, {"event_type": "ransom", "trigger": true, "arguments": ["price", "tool", "payment method", "attack pattern", "damage amount", "attacker", "time", "victim"]}, {"event_type": "phishing", "trigger": true, "arguments": ["trusted entity", "victim", "attack pattern", "tool", "place", "attacker", "purpose", "damage amount", "time"]}], "input": "One person hit by the scam told Express.co.uk that they received the email on Sunday and have never had a BT broadband or BT email account ."}
{"discover vulnerability": [], "data breach": [], "patch vulnerability": [], "ransom": [], "phishing": [{"trigger": "received", "arguments": {"trusted entity": "NAN", "victim": ["they", "One person"], "attack pattern": "hit by the scam", "tool": "the email", "place": "NAN", "attacker": "NAN", "purpose": "NAN", "damage amount": "NAN", "time": "Sunday"}}]}